Aeronautical mobile airport communications system development status

Hall, Edward M.; Budinger, James M.; Dimond, Robert P.; Wilson, Jeffrey D.; Apaza, Rafael D.

doi:10.1109/icnsurv.2010.5503322

Cited by 10 publications

(4 citation statements)

References 1 publication

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“…Consistent with [23], a Hamming window function was implemented. The complex I − Q components of Gabor coefficients G mk and GW T mk , generated respectively in (8) and (9), can be used to compute corresponding T-F magnitude and phase responses. Figure 3 shows representative magnitude responses, at SN R = 0 dB, for the GT and GWT used for generation of RF-DNA fingerprints and the results presented in Sect.…”

Section: Gabor-based Rf-dna Fingerprintingmentioning

confidence: 99%

“…The motivation for considering Worldwide Interoperability for Microwave Access (WiMAX) signals is provided by 1) the continued proliferation of IEEE 802.16e last mile communications, to include Long Term Evolution (LTE), and 2) potential adoption of an IEEE 802.16e compliant solution for next generation airport communication services as being pursued by the FAA, Eurocontrol and International Civilian Aviation Organization (ICAO) [8], [9]. WiMAX architectures are based on Wireless Access Points (WAP) that are among the top 10 IT threats [10] and unauthorized access to public safety services is a major concern [9].…”

Section: Introductionmentioning

confidence: 99%

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Gabor-based RF-DNA fingerprinting for classifying 802.16e WiMAX Mobile Subscribers

Reising

Temple

Oxley

2012

2012 International Conference on Computing, Networking and Communications (ICNC)

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Previous work has demonstrated the viability of using RF-DNA fingerprinting to provide serial number discrimination of IEEE 802.11a WiFi devices as a means to augment conventional bit-level security. This was done using RF-DNA extracted from signal regions containing standard pre-defined responses (preamble, midamble, etc.). Using these responses, proof-of-concept demonstrations with RF-DNA fingerprinting have shown some effectiveness for providing serial number discrimination. The discrimination challenge increases considerably when pre-defined signal responses are not present. This challenge is addressed here using experimentally collected IEEE 802.16e WiMAX signals from Alvarion BreezeMAX Mobile Subscriber (MS) devices. Relative to previous Time Domain (TD) and Spectral Domain (SD) fingerprint features, joint time-frequency Gabor (GT) and Gabor-Wigner (GWT) Transform features are considered here as a means to extract greater device discriminating information. For comparison, RF-DNA is extracted from TD, SD, GT, and GWT responses and MDA/ML feature extraction and classification performed. Preliminary assessment shows that Gabor-based RF-DNA fingerprinting is much more effective than either TD or SD methods. GT RF-DNA fingerprinting achieves individual WiMAX MS device classification of 98.5% or better for SN R ≥ −3 dB.

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Section: Gabor-based Rf-dna Fingerprintingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Gabor-based RF-DNA fingerprinting for classifying 802.16e WiMAX Mobile Subscribers

Reising

Temple

Oxley

2012

2012 International Conference on Computing, Networking and Communications (ICNC)

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“…The WAP security threat (unauthorized access, device spoofing, cloning, etc.) is of even greater concern when considering WiMAX implementations involving public safety [14].…”

Section: Introductionmentioning

confidence: 99%

“…WiMAX signals are considered here for demonstration given 1) commercial equipment is readily available (Alvarion BreezeMAX Extreme 5000 equipment used here), 2) the anticipated proliferation of IEEE 802.16e compliant equipment, or variants thereof such as Long Term Evolution (LTE), and 3) the potential adoption of a WiMAX variant for next generation airport communications by the FAA, Eurocontrol and International Civilian Aviation Organization (ICAO) [13], [14]. Furthermore, WiMAX systems use a Wireless Access Point (WAP) architecture which remains among the top 10 Information Technology (IT) security threats [15].…”

Section: Introductionmentioning

confidence: 99%

WiMAX mobile subscriber verification using Gabor-based RF-DNA fingerprints

Reising

Temple

2012

2012 IEEE International Conference on Communications (ICC)

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Considerable effort has been put forth to exploit physical layer attributes to augment network bit-level security mechanisms. RF-DNA fingerprints possess such attributes and can be used to uniquely identify authorized users and mitigate unauthorized network activity. These attributes are unique to a given electronic device and difficult to replicate for cloning, spoofing, etc. Device discrimination (identification) of WiMAX devices has been successfully demonstrated using a one-to-many comparison against a pool of unknown device fingerprints. The work here now addresses device authentication using a one-toone comparison against the specific fingerprint associated with a claimed bit-level identity (MAC, SIM, IMEI, etc). The concept is demonstrated using Gabor-based RF-DNA extracted from neartransient burst responses of 802.16e WiMAX mobile subscriber devices-device identification of better than 96% is achieved with verification EER ≤ 1.6% for SN R ≥ −3 dB.

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AeroMACSNetworks Characterization

Kamali¹

2018

AeroMACS

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Aeronautical mobile airport communications system development status

Cited by 10 publications

References 1 publication

Gabor-based RF-DNA fingerprinting for classifying 802.16e WiMAX Mobile Subscribers

Gabor-based RF-DNA fingerprinting for classifying 802.16e WiMAX Mobile Subscribers

WiMAX mobile subscriber verification using Gabor-based RF-DNA fingerprints

AeroMACSNetworks Characterization

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